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We Rewrote JSONata with AI in a Day, Saved $500K/Year
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Overview
Reco utilized AI to rewrite JSONata in one day, resulting in a cost savings of $500,000 per year. The process involved using an existing specification and test suite to guide the AI in implementing the code until all tests passed.
Summary from reco.ai.
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Hacker News · reco.ai
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Based on 5 sampled comments from this thread. Analyzed 2026-03-27.
- Praise: The use of AI to rewrite JSONata in Go significantly reduced operational costs, saving approximately $500K annually, which highlights the potential for AI to optimize software development.
- Praise: Transitioning from a JavaScript-based architecture to Go not only improved performance but also streamlined the deployment process, indicating a successful application of AI in enhancing system efficiency.
- Concern: Concerns arise about the long-term maintenance of the AI-translated code, especially given the existing open issues and pull requests, which could impact its reliability and sustainability.
- Concern: The high operational costs of $300K per year for running JSONata in a Node.js environment raise questions about the efficiency of their previous architecture and whether AI was truly necessary for the rewrite.